{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5306a3e8",
   "metadata": {},
   "source": [
    "## 多因子04单因子测试-20231025-单因子测试-Alphalens因子整理\n",
    "\n",
    "https://www.wolai.com/stupidccl/qbAG9aJ2V7cAoxPbpogoZT<br>\n",
    "https://www.bilibili.com/video/BV1yu411c7Li"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e179e8b5",
   "metadata": {},
   "source": [
    "## Quick Start"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3edf4a7",
   "metadata": {},
   "source": [
    "   ### 构造待测试因子"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e917a828",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0c978f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "def winsor(ser):\n",
    "    # 计算序列的最大值和最小值，分别加上和减去 3 倍的标准差\n",
    "    max_value, min_value = ser.mean() + 3 * ser.std(), ser.mean() - 3 * ser.std()\n",
    "    # 遍历序列中的每个元素，如果元素大于最大值，则替换为最大值；如果元素小于最小值，则替换为最小值；否则保持原值  \n",
    "    return pd.Series([max_value if item > max_value else (min_value if item < min_value else item) for item in ser])\n",
    "\n",
    "def filter_extreme_by_MAD(series, n=3):\n",
    "    # 计算中位数 𝑥_𝑚𝑒𝑑𝑖𝑎𝑛\n",
    "    median = series.median()\n",
    "    # 计算绝对偏差值的中位数 MAD\n",
    "    median_new = abs(series - median).median()\n",
    "    # 计算上下限的值\n",
    "    max_value = median + n * median_new\n",
    "    min_value = median - n * median_new\n",
    "    return np.clip(series, min_value, max_value)\n",
    "\n",
    "def standize(ser):\n",
    "    # 返回标准化后的序列，即每个元素减去均值后再除以标准差\n",
    "    return (ser - ser.mean()) / ser.std()\n",
    "\n",
    "def industry_neutralization(factor_df, factor_name):\n",
    "    # 使用因子数据框中的因子名称进行线性回归，预测因子值\n",
    "    result = sm.OLS(factor_df[factor_name], factor_df[list(factor_df.ind_code.unique())], hasconst=True).fit()\n",
    "    # 返回残差，即因子实际值与预测值之间的差异\n",
    "    return result.resid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "65f5e5fd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data_date</th>\n",
       "      <th>secucode</th>\n",
       "      <th>daily_return</th>\n",
       "      <th>mv</th>\n",
       "      <th>free_mv</th>\n",
       "      <th>turnover</th>\n",
       "      <th>ind_code</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2456</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>0.039594</td>\n",
       "      <td>1.049262e+07</td>\n",
       "      <td>6.359773e+06</td>\n",
       "      <td>0.020861</td>\n",
       "      <td>480000</td>\n",
       "      <td>-0.452592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2457</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000002.SZ</td>\n",
       "      <td>0.056604</td>\n",
       "      <td>1.138438e+07</td>\n",
       "      <td>1.136274e+07</td>\n",
       "      <td>0.047965</td>\n",
       "      <td>430000</td>\n",
       "      <td>0.127755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2458</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>-0.025522</td>\n",
       "      <td>7.054041e+04</td>\n",
       "      <td>7.045539e+04</td>\n",
       "      <td>0.017723</td>\n",
       "      <td>370000</td>\n",
       "      <td>-4.955361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2459</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000005.SZ</td>\n",
       "      <td>-0.022801</td>\n",
       "      <td>2.743001e+05</td>\n",
       "      <td>2.741229e+05</td>\n",
       "      <td>0.015221</td>\n",
       "      <td>430000</td>\n",
       "      <td>-3.596764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2460</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000006.SZ</td>\n",
       "      <td>-0.020446</td>\n",
       "      <td>6.775689e+05</td>\n",
       "      <td>6.668505e+05</td>\n",
       "      <td>0.026390</td>\n",
       "      <td>210000</td>\n",
       "      <td>-2.707774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3673</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603993.SH</td>\n",
       "      <td>0.100467</td>\n",
       "      <td>1.017324e+07</td>\n",
       "      <td>8.320579e+06</td>\n",
       "      <td>0.055676</td>\n",
       "      <td>240000</td>\n",
       "      <td>-0.183853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3674</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603996.SH</td>\n",
       "      <td>0.008523</td>\n",
       "      <td>1.065532e+05</td>\n",
       "      <td>1.065532e+05</td>\n",
       "      <td>0.023787</td>\n",
       "      <td>270000</td>\n",
       "      <td>-4.541696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3675</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603997.SH</td>\n",
       "      <td>0.006579</td>\n",
       "      <td>7.830562e+05</td>\n",
       "      <td>7.830562e+05</td>\n",
       "      <td>0.003513</td>\n",
       "      <td>280000</td>\n",
       "      <td>-2.547136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3676</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603998.SH</td>\n",
       "      <td>0.003906</td>\n",
       "      <td>3.349661e+05</td>\n",
       "      <td>3.349661e+05</td>\n",
       "      <td>0.024169</td>\n",
       "      <td>370000</td>\n",
       "      <td>-3.396311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3677</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603999.SH</td>\n",
       "      <td>0.021898</td>\n",
       "      <td>4.032000e+05</td>\n",
       "      <td>4.032000e+05</td>\n",
       "      <td>0.030957</td>\n",
       "      <td>720000</td>\n",
       "      <td>-3.210908</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4945400 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      data_date   secucode  daily_return            mv       free_mv  \\\n",
       "2456 2013-01-22  000001.SZ      0.039594  1.049262e+07  6.359773e+06   \n",
       "2457 2013-01-22  000002.SZ      0.056604  1.138438e+07  1.136274e+07   \n",
       "2458 2013-01-22  000004.SZ     -0.025522  7.054041e+04  7.045539e+04   \n",
       "2459 2013-01-22  000005.SZ     -0.022801  2.743001e+05  2.741229e+05   \n",
       "2460 2013-01-22  000006.SZ     -0.020446  6.775689e+05  6.668505e+05   \n",
       "...         ...        ...           ...           ...           ...   \n",
       "3673 2020-02-12  603993.SH      0.100467  1.017324e+07  8.320579e+06   \n",
       "3674 2020-02-12  603996.SH      0.008523  1.065532e+05  1.065532e+05   \n",
       "3675 2020-02-12  603997.SH      0.006579  7.830562e+05  7.830562e+05   \n",
       "3676 2020-02-12  603998.SH      0.003906  3.349661e+05  3.349661e+05   \n",
       "3677 2020-02-12  603999.SH      0.021898  4.032000e+05  4.032000e+05   \n",
       "\n",
       "      turnover ind_code      size  \n",
       "2456  0.020861   480000 -0.452592  \n",
       "2457  0.047965   430000  0.127755  \n",
       "2458  0.017723   370000 -4.955361  \n",
       "2459  0.015221   430000 -3.596764  \n",
       "2460  0.026390   210000 -2.707774  \n",
       "...        ...      ...       ...  \n",
       "3673  0.055676   240000 -0.183853  \n",
       "3674  0.023787   270000 -4.541696  \n",
       "3675  0.003513   280000 -2.547136  \n",
       "3676  0.024169   370000 -3.396311  \n",
       "3677  0.030957   720000 -3.210908  \n",
       "\n",
       "[4945400 rows x 8 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取行情\n",
    "tpd = pd.read_hdf(r'./data/total_tpd.h5', key='data')\n",
    "tpd.sort_values(['data_date', 'secucode'], inplace=True)\n",
    "# 市值分布是严重右偏的，对市值取对数后，相对接近正态分布了\n",
    "tpd['size'] = np.log(tpd['free_mv']/10000000)\n",
    "# 缩尾操作\n",
    "tpd['size'] = winsor(tpd['size']).values\n",
    "tpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "794b1508",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 原始市值是严重右偏的\n",
    "tpd['size2'] = tpd['free_mv']/10000000\n",
    "tpd['size2'].hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a4e77d6c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 市值分布是严重右偏的，对市值取对数后，相对接近正态分布了\n",
    "tpd['size'] = np.log(tpd['free_mv']/10000000)\n",
    "tpd['size'].hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0d314c19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 缩尾后的样子如下，2以上的被压缩到了0附近，-6以下的被压缩到-6\n",
    "tpd['size'] = np.log(tpd['free_mv']/10000000)\n",
    "tpd['size'] = winsor(tpd['size']).values\n",
    "tpd['size'].hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "61528049",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data_date</th>\n",
       "      <th>secucode</th>\n",
       "      <th>daily_return</th>\n",
       "      <th>mv</th>\n",
       "      <th>free_mv</th>\n",
       "      <th>turnover</th>\n",
       "      <th>ind_code</th>\n",
       "      <th>size</th>\n",
       "      <th>size2</th>\n",
       "      <th>factor_wined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2456</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000001.SZ</td>\n",
       "      <td>0.039594</td>\n",
       "      <td>1.049262e+07</td>\n",
       "      <td>6.359773e+06</td>\n",
       "      <td>0.020861</td>\n",
       "      <td>480000</td>\n",
       "      <td>-0.452592</td>\n",
       "      <td>0.635977</td>\n",
       "      <td>-1.795307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2457</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000002.SZ</td>\n",
       "      <td>0.056604</td>\n",
       "      <td>1.138438e+07</td>\n",
       "      <td>1.136274e+07</td>\n",
       "      <td>0.047965</td>\n",
       "      <td>430000</td>\n",
       "      <td>0.127755</td>\n",
       "      <td>1.136274</td>\n",
       "      <td>-1.795307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2458</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000004.SZ</td>\n",
       "      <td>-0.025522</td>\n",
       "      <td>7.054041e+04</td>\n",
       "      <td>7.045539e+04</td>\n",
       "      <td>0.017723</td>\n",
       "      <td>370000</td>\n",
       "      <td>-4.955361</td>\n",
       "      <td>0.007046</td>\n",
       "      <td>-4.955361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2459</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000005.SZ</td>\n",
       "      <td>-0.022801</td>\n",
       "      <td>2.743001e+05</td>\n",
       "      <td>2.741229e+05</td>\n",
       "      <td>0.015221</td>\n",
       "      <td>430000</td>\n",
       "      <td>-3.596764</td>\n",
       "      <td>0.027412</td>\n",
       "      <td>-3.596764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2460</th>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>000006.SZ</td>\n",
       "      <td>-0.020446</td>\n",
       "      <td>6.775689e+05</td>\n",
       "      <td>6.668505e+05</td>\n",
       "      <td>0.026390</td>\n",
       "      <td>210000</td>\n",
       "      <td>-2.707774</td>\n",
       "      <td>0.066685</td>\n",
       "      <td>-2.707774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3673</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603993.SH</td>\n",
       "      <td>0.100467</td>\n",
       "      <td>1.017324e+07</td>\n",
       "      <td>8.320579e+06</td>\n",
       "      <td>0.055676</td>\n",
       "      <td>240000</td>\n",
       "      <td>-0.183853</td>\n",
       "      <td>0.832058</td>\n",
       "      <td>-1.052036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3674</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603996.SH</td>\n",
       "      <td>0.008523</td>\n",
       "      <td>1.065532e+05</td>\n",
       "      <td>1.065532e+05</td>\n",
       "      <td>0.023787</td>\n",
       "      <td>270000</td>\n",
       "      <td>-4.541696</td>\n",
       "      <td>0.010655</td>\n",
       "      <td>-4.541696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3675</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603997.SH</td>\n",
       "      <td>0.006579</td>\n",
       "      <td>7.830562e+05</td>\n",
       "      <td>7.830562e+05</td>\n",
       "      <td>0.003513</td>\n",
       "      <td>280000</td>\n",
       "      <td>-2.547136</td>\n",
       "      <td>0.078306</td>\n",
       "      <td>-2.547136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3676</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603998.SH</td>\n",
       "      <td>0.003906</td>\n",
       "      <td>3.349661e+05</td>\n",
       "      <td>3.349661e+05</td>\n",
       "      <td>0.024169</td>\n",
       "      <td>370000</td>\n",
       "      <td>-3.396311</td>\n",
       "      <td>0.033497</td>\n",
       "      <td>-3.396311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3677</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603999.SH</td>\n",
       "      <td>0.021898</td>\n",
       "      <td>4.032000e+05</td>\n",
       "      <td>4.032000e+05</td>\n",
       "      <td>0.030957</td>\n",
       "      <td>720000</td>\n",
       "      <td>-3.210908</td>\n",
       "      <td>0.040320</td>\n",
       "      <td>-3.210908</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4945400 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      data_date   secucode  daily_return            mv       free_mv  \\\n",
       "2456 2013-01-22  000001.SZ      0.039594  1.049262e+07  6.359773e+06   \n",
       "2457 2013-01-22  000002.SZ      0.056604  1.138438e+07  1.136274e+07   \n",
       "2458 2013-01-22  000004.SZ     -0.025522  7.054041e+04  7.045539e+04   \n",
       "2459 2013-01-22  000005.SZ     -0.022801  2.743001e+05  2.741229e+05   \n",
       "2460 2013-01-22  000006.SZ     -0.020446  6.775689e+05  6.668505e+05   \n",
       "...         ...        ...           ...           ...           ...   \n",
       "3673 2020-02-12  603993.SH      0.100467  1.017324e+07  8.320579e+06   \n",
       "3674 2020-02-12  603996.SH      0.008523  1.065532e+05  1.065532e+05   \n",
       "3675 2020-02-12  603997.SH      0.006579  7.830562e+05  7.830562e+05   \n",
       "3676 2020-02-12  603998.SH      0.003906  3.349661e+05  3.349661e+05   \n",
       "3677 2020-02-12  603999.SH      0.021898  4.032000e+05  4.032000e+05   \n",
       "\n",
       "      turnover ind_code      size     size2  factor_wined  \n",
       "2456  0.020861   480000 -0.452592  0.635977     -1.795307  \n",
       "2457  0.047965   430000  0.127755  1.136274     -1.795307  \n",
       "2458  0.017723   370000 -4.955361  0.007046     -4.955361  \n",
       "2459  0.015221   430000 -3.596764  0.027412     -3.596764  \n",
       "2460  0.026390   210000 -2.707774  0.066685     -2.707774  \n",
       "...        ...      ...       ...       ...           ...  \n",
       "3673  0.055676   240000 -0.183853  0.832058     -1.052036  \n",
       "3674  0.023787   270000 -4.541696  0.010655     -4.541696  \n",
       "3675  0.003513   280000 -2.547136  0.078306     -2.547136  \n",
       "3676  0.024169   370000 -3.396311  0.033497     -3.396311  \n",
       "3677  0.030957   720000 -3.210908  0.040320     -3.210908  \n",
       "\n",
       "[4945400 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 去极值\n",
    "win_factor_value = tpd.groupby('data_date').apply(lambda x: filter_extreme_by_MAD(x['size']))\n",
    "tpd['factor_wined'] = win_factor_value.values\n",
    "tpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "798483ef",
   "metadata": {},
   "outputs": [
    {
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       "      <th>data_date</th>\n",
       "      <th>secucode</th>\n",
       "      <th>daily_return</th>\n",
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      ],
      "text/plain": [
       "      data_date   secucode  daily_return            mv       free_mv  \\\n",
       "2456 2013-01-22  000001.SZ      0.039594  1.049262e+07  6.359773e+06   \n",
       "2457 2013-01-22  000002.SZ      0.056604  1.138438e+07  1.136274e+07   \n",
       "2458 2013-01-22  000004.SZ     -0.025522  7.054041e+04  7.045539e+04   \n",
       "2459 2013-01-22  000005.SZ     -0.022801  2.743001e+05  2.741229e+05   \n",
       "2460 2013-01-22  000006.SZ     -0.020446  6.775689e+05  6.668505e+05   \n",
       "...         ...        ...           ...           ...           ...   \n",
       "3673 2020-02-12  603993.SH      0.100467  1.017324e+07  8.320579e+06   \n",
       "3674 2020-02-12  603996.SH      0.008523  1.065532e+05  1.065532e+05   \n",
       "3675 2020-02-12  603997.SH      0.006579  7.830562e+05  7.830562e+05   \n",
       "3676 2020-02-12  603998.SH      0.003906  3.349661e+05  3.349661e+05   \n",
       "3677 2020-02-12  603999.SH      0.021898  4.032000e+05  4.032000e+05   \n",
       "\n",
       "      turnover ind_code      size     size2  factor_wined  factor_std  \n",
       "2456  0.020861   480000 -0.452592  0.635977     -1.795307    1.934255  \n",
       "2457  0.047965   430000  0.127755  1.136274     -1.795307    1.934255  \n",
       "2458  0.017723   370000 -4.955361  0.007046     -4.955361   -1.161428  \n",
       "2459  0.015221   430000 -3.596764  0.027412     -3.596764    0.169494  \n",
       "2460  0.026390   210000 -2.707774  0.066685     -2.707774    1.040375  \n",
       "...        ...      ...       ...       ...           ...         ...  \n",
       "3673  0.055676   240000 -0.183853  0.832058     -1.052036    1.923164  \n",
       "3674  0.023787   270000 -4.541696  0.010655     -4.541696   -1.841534  \n",
       "3675  0.003513   280000 -2.547136  0.078306     -2.547136    0.310227  \n",
       "3676  0.024169   370000 -3.396311  0.033497     -3.396311   -0.605876  \n",
       "3677  0.030957   720000 -3.210908  0.040320     -3.210908   -0.405860  \n",
       "\n",
       "[4945400 rows x 11 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 标准化\n",
    "tpd['factor_std'] = tpd.groupby('data_date').apply(lambda x: standize(x['factor_wined'])).values\n",
    "tpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3f3b2bf7",
   "metadata": {},
   "outputs": [
    {
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       "      <td>-1.841534</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.750879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3675</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603997.SH</td>\n",
       "      <td>280000</td>\n",
       "      <td>0.310227</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.462313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3676</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603998.SH</td>\n",
       "      <td>370000</td>\n",
       "      <td>-0.605876</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.776350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3677</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>603999.SH</td>\n",
       "      <td>720000</td>\n",
       "      <td>-0.405860</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.554825</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4945400 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      data_date   secucode ind_code  factor_std  110000  210000  220000  \\\n",
       "2456 2013-01-22  000001.SZ   480000    1.934255       0       0       0   \n",
       "2457 2013-01-22  000002.SZ   430000    1.934255       0       0       0   \n",
       "2458 2013-01-22  000004.SZ   370000   -1.161428       0       0       0   \n",
       "2459 2013-01-22  000005.SZ   430000    0.169494       0       0       0   \n",
       "2460 2013-01-22  000006.SZ   210000    1.040375       0       1       0   \n",
       "...         ...        ...      ...         ...     ...     ...     ...   \n",
       "3673 2020-02-12  603993.SH   240000    1.923164       0       0       0   \n",
       "3674 2020-02-12  603996.SH   270000   -1.841534       0       0       0   \n",
       "3675 2020-02-12  603997.SH   280000    0.310227       0       0       0   \n",
       "3676 2020-02-12  603998.SH   370000   -0.605876       0       0       0   \n",
       "3677 2020-02-12  603999.SH   720000   -0.405860       0       0       0   \n",
       "\n",
       "      230000  240000  270000  ...  510000  610000  620000  630000  640000  \\\n",
       "2456       0       0       0  ...       0       0       0       0       0   \n",
       "2457       0       0       0  ...       0       0       0       0       0   \n",
       "2458       0       0       0  ...       0       0       0       0       0   \n",
       "2459       0       0       0  ...       0       0       0       0       0   \n",
       "2460       0       0       0  ...       0       0       0       0       0   \n",
       "...      ...     ...     ...  ...     ...     ...     ...     ...     ...   \n",
       "3673       0       1       0  ...       0       0       0       0       0   \n",
       "3674       0       0       1  ...       0       0       0       0       0   \n",
       "3675       0       0       0  ...       0       0       0       0       0   \n",
       "3676       0       0       0  ...       0       0       0       0       0   \n",
       "3677       0       0       0  ...       0       0       0       0       0   \n",
       "\n",
       "      650000  710000  720000  730000  factor_neuted  \n",
       "2456       0       0       0       0       0.342815  \n",
       "2457       0       0       0       0       1.555565  \n",
       "2458       0       0       0       0      -1.331902  \n",
       "2459       0       0       0       0      -0.209196  \n",
       "2460       0       0       0       0       0.554865  \n",
       "...      ...     ...     ...     ...            ...  \n",
       "3673       0       0       0       0       1.608497  \n",
       "3674       0       0       0       0      -1.750879  \n",
       "3675       0       0       0       0       0.462313  \n",
       "3676       0       0       0       0      -0.776350  \n",
       "3677       0       0       1       0      -0.554825  \n",
       "\n",
       "[4945400 rows x 33 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 中性化\n",
    "neuted_factor_df = tpd[['data_date', 'secucode', 'ind_code', 'factor_std']]\n",
    "\n",
    "neuted_factor_df = pd.concat([neuted_factor_df, pd.get_dummies(neuted_factor_df['ind_code'])], axis=1)\n",
    "neuted_factor_df.dropna(inplace=True)\n",
    "neuted_factor_df['factor_neuted'] = industry_neutralization(neuted_factor_df, 'factor_std')\n",
    "neuted_factor_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "407d0b47",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 需要中性化的因子\n",
    "factor_df = neuted_factor_df[['data_date', 'secucode', 'factor_neuted']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9daf55fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 因子值乘以-1 符合逻辑\n",
    "factor_flag = -1\n",
    "factor_df = factor_df.set_index(['data_date', 'secucode'])\n",
    "factor_df = factor_flag * factor_df\n",
    "factor_df.to_csv('./data/factor_df.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c5beacc1",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-12-93c377229e31>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# 整理收盘价、行业分组数据\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mtpd\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'close'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'secucode'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'daily_return'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexpanding\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mprice_df\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtpd\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'close'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpivot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'secucode'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'close'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mgroup_df\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtpd\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'ind_code'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msort_values\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mprice_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'./data/price_df.csv'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\expanding.py\u001b[0m in \u001b[0;36mapply\u001b[1;34m(self, func, raw, engine, engine_kwargs, args, kwargs)\u001b[0m\n\u001b[0;32m    154\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mDict\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mAny\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    155\u001b[0m     ):\n\u001b[1;32m--> 156\u001b[1;33m         return super().apply(\n\u001b[0m\u001b[0;32m    157\u001b[0m             \u001b[0mfunc\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    158\u001b[0m             \u001b[0mraw\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mraw\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mapply\u001b[1;34m(self, func, raw, engine, engine_kwargs, args, kwargs)\u001b[0m\n\u001b[0;32m   1317\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"engine must be either 'numba' or 'cython'\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1318\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1319\u001b[1;33m         return self._apply(\n\u001b[0m\u001b[0;32m   1320\u001b[0m             \u001b[0mapply_func\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1321\u001b[0m             \u001b[0mnumba_cache_key\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mnumba_cache_key\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36m_apply\u001b[1;34m(self, func, name, numba_cache_key, **kwargs)\u001b[0m\n\u001b[0;32m    762\u001b[0m         \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    763\u001b[0m     ) -> FrameOrSeries:\n\u001b[1;32m--> 764\u001b[1;33m         result = super()._apply(\n\u001b[0m\u001b[0;32m    765\u001b[0m             \u001b[0mfunc\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    766\u001b[0m             \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36m_apply\u001b[1;34m(self, func, name, numba_cache_key, **kwargs)\u001b[0m\n\u001b[0;32m    467\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    468\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 469\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_apply_blockwise\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhomogeneous_func\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    470\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    471\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0maggregate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36m_apply_blockwise\u001b[1;34m(self, homogeneous_func, name)\u001b[0m\n\u001b[0;32m    382\u001b[0m         \"\"\"\n\u001b[0;32m    383\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_selected_obj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 384\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_apply_series\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhomogeneous_func\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    385\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    386\u001b[0m         \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_create_data\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_selected_obj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36m_apply_series\u001b[1;34m(self, homogeneous_func, name)\u001b[0m\n\u001b[0;32m    371\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mDataError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"No numeric types to aggregate\"\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    372\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 373\u001b[1;33m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mhomogeneous_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    374\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    375\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mhomogeneous_func\u001b[1;34m(values)\u001b[0m\n\u001b[0;32m    459\u001b[0m                     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply_along_axis\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcalc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    460\u001b[0m                 \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 461\u001b[1;33m                     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcalc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    462\u001b[0m                     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    463\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mcalc\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m    453\u001b[0m                     \u001b[0mclosed\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclosed\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    454\u001b[0m                 )\n\u001b[1;32m--> 455\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstart\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmin_periods\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    456\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    457\u001b[0m             \u001b[1;32mwith\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merrstate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mall\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"ignore\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\window\\rolling.py\u001b[0m in \u001b[0;36mapply_func\u001b[1;34m(values, begin, end, min_periods, raw)\u001b[0m\n\u001b[0;32m   1342\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mraw\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1343\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mSeries\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1344\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mwindow_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbegin\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmin_periods\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1345\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1346\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mapply_func\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\window\\aggregations.pyx\u001b[0m in \u001b[0;36mpandas._libs.window.aggregations.roll_apply\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32m<ipython-input-12-93c377229e31>\u001b[0m in \u001b[0;36m<lambda>\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# 整理收盘价、行业分组数据\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mtpd\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'close'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgroupby\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'secucode'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'daily_return'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexpanding\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mlambda\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mprice_df\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtpd\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'close'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpivot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'secucode'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'close'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mgroup_df\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtpd\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'ind_code'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msort_values\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'data_date'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'secucode'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mprice_df\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'./data/price_df.csv'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\ops\\common.py\u001b[0m in \u001b[0;36mnew_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m     63\u001b[0m         \u001b[0mother\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mitem_from_zerodim\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     64\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 65\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     66\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     67\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mnew_method\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\arraylike.py\u001b[0m in \u001b[0;36m__add__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m     87\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0munpack_zerodim_and_defer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"__add__\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     88\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__add__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mother\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 89\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_arith_method\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mother\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moperator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     90\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     91\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0munpack_zerodim_and_defer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"__radd__\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36m_arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m   4996\u001b[0m         \u001b[0mlvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   4997\u001b[0m         \u001b[0mrvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mextract_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mother\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mextract_numpy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 4998\u001b[1;33m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mops\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marithmetic_op\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   4999\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5000\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_construct_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mres_name\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py\u001b[0m in \u001b[0;36marithmetic_op\u001b[1;34m(left, right, op)\u001b[0m\n\u001b[0;32m    187\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    188\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merrstate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mall\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"ignore\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 189\u001b[1;33m             \u001b[0mres_values\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_na_arithmetic_op\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    190\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    191\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mres_values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\ops\\array_ops.py\u001b[0m in \u001b[0;36m_na_arithmetic_op\u001b[1;34m(left, right, op, is_cmp)\u001b[0m\n\u001b[0;32m    140\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    141\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 142\u001b[1;33m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mexpressions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mevaluate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mleft\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mright\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    143\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    144\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mis_cmp\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\computation\\expressions.py\u001b[0m in \u001b[0;36mevaluate\u001b[1;34m(op, a, b, use_numexpr)\u001b[0m\n\u001b[0;32m    233\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0muse_numexpr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    234\u001b[0m             \u001b[1;31m# error: \"None\" not callable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 235\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0m_evaluate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop_str\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m# type: ignore[misc]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    236\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0m_evaluate_standard\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop_str\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    237\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\computation\\expressions.py\u001b[0m in \u001b[0;36m_evaluate_numexpr\u001b[1;34m(op, op_str, a, b)\u001b[0m\n\u001b[0;32m    118\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    119\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 120\u001b[1;33m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_evaluate_standard\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop_str\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    121\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    122\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\computation\\expressions.py\u001b[0m in \u001b[0;36m_evaluate_standard\u001b[1;34m(op, op_str, a, b)\u001b[0m\n\u001b[0;32m     67\u001b[0m         \u001b[0m_store_test_result\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     68\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merrstate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mall\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"ignore\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 69\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     70\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     71\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# 整理收盘价、行业分组数据\n",
    "tpd['close'] = tpd.groupby('secucode')['daily_return'].expanding().apply(lambda x: np.prod(x + 1)).values\n",
    "price_df = tpd[['data_date', 'secucode', 'close']].pivot(index='data_date', columns='secucode', values='close')\n",
    "group_df = tpd[['data_date', 'secucode', 'ind_code']].sort_values(['data_date', 'secucode']).set_index(['data_date', 'secucode'])\n",
    "price_df.to_csv('./data/price_df.csv')\n",
    "group_df.to_csv('./data/group_df.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c473faa",
   "metadata": {},
   "source": [
    "### 因子整理  get_clean_factor_and_forward_returns "
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "c96e0fca",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c12c1dd",
   "metadata": {},
   "source": [
    "import pandas as pd\n",
    "import alphalens\n",
    "\n",
    "### 读取申万行业字典\n",
    "ind_code2name = pd.read_csv(r'ind_name.csv', dtype={'code': 'str'}).set_index('code').to_dict()['name']\n",
    "\n",
    "factor_df = pd.read_csv(r'D:\\Work\\python\\ml\\factor_df.csv', parse_dates=[0], index_col=[0, 1])\n",
    "price_df = pd.read_csv(r'D:\\Work\\python\\ml\\price_df.csv', parse_dates=[0], index_col=[0])\n",
    "group_df = pd.read_csv(r'D:\\Work\\python\\ml\\group_df.csv', parse_dates=[0], index_col=[0, 1])\n",
    "group_df.ind_code = group_df.ind_code.astype('str')\n",
    "\n",
    "factor_data = alphalens.utils.get_clean_factor_and_forward_returns(factor_df, price_df, group_df['ind_code'], quantiles=10, groupby_labels=ind_code2name)\n",
    "factor_data.to_csv('factor_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d7b95dd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import alphalens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "71b2acb6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>code</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>210000</td>\n",
       "      <td>mining</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>220000</td>\n",
       "      <td>chemical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>230000</td>\n",
       "      <td>steel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>240000</td>\n",
       "      <td>non ferrous</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>610000</td>\n",
       "      <td>building materials</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     code                 name\n",
       "0  210000               mining\n",
       "1  220000             chemical\n",
       "2  230000                steel\n",
       "3  240000          non ferrous\n",
       "4  610000   building materials"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind_code2name = pd.read_csv(r'./data/ind_name.csv')\n",
    "ind_code2name.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fe967d3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'210000': ' mining',\n",
       " '220000': ' chemical',\n",
       " '230000': ' steel',\n",
       " '240000': ' non ferrous',\n",
       " '610000': ' building materials',\n",
       " '620000': ' architectural decoration',\n",
       " '630000': ' electrical equipment',\n",
       " '640000': ' mechanical equipment',\n",
       " '650000': ' national defense and military industry',\n",
       " '280000': ' auto',\n",
       " '330000': ' appliances',\n",
       " '360000': ' light industry manufacturing',\n",
       " '110000': ' agriculture',\n",
       " '340000': ' food and beverage',\n",
       " '350000': ' textile and clothing',\n",
       " '370000': ' medical biology',\n",
       " '450000': ' commercial trade',\n",
       " '460000': ' leisure services',\n",
       " '270000': ' electronic',\n",
       " '710000': ' computer',\n",
       " '720000': ' media',\n",
       " '730000': ' communications',\n",
       " '410000': ' utilities',\n",
       " '420000': ' transportation',\n",
       " '430000': ' real estate',\n",
       " '480000': ' bank',\n",
       " '490000': ' non-bank finance',\n",
       " '510000': ' comprehensive'}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取申万行业字典\n",
    "ind_code2name = pd.read_csv(r'./data/ind_name.csv', dtype={'code': 'str'}).set_index('code').to_dict()['name']\n",
    "ind_code2name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6c255476",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>factor_neuted</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_date</th>\n",
       "      <th>secucode</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2013-01-22</th>\n",
       "      <th>000001.SZ</th>\n",
       "      <td>-0.342815</td>\n",
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       "    <tr>\n",
       "      <th>000002.SZ</th>\n",
       "      <td>-1.555565</td>\n",
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       "    <tr>\n",
       "      <th>000004.SZ</th>\n",
       "      <td>1.331902</td>\n",
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       "    <tr>\n",
       "      <th>000005.SZ</th>\n",
       "      <td>0.209196</td>\n",
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       "    <tr>\n",
       "      <th>000006.SZ</th>\n",
       "      <td>-0.554865</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      factor_neuted\n",
       "data_date  secucode                \n",
       "2013-01-22 000001.SZ      -0.342815\n",
       "           000002.SZ      -1.555565\n",
       "           000004.SZ       1.331902\n",
       "           000005.SZ       0.209196\n",
       "           000006.SZ      -0.554865"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "factor_df = pd.read_csv(r'./data/factor_df.csv', parse_dates=[0], index_col=[0, 1])\n",
    "factor_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e7378a6a",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.972710</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.989154</td>\n",
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       "      <td>1.062500</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.953216</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-24</th>\n",
       "      <td>0.987310</td>\n",
       "      <td>1.073675</td>\n",
       "      <td>0.960557</td>\n",
       "      <td>1.048860</td>\n",
       "      <td>0.985130</td>\n",
       "      <td>0.929835</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.994577</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.005319</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.889864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2013-01-25</th>\n",
       "      <td>0.972081</td>\n",
       "      <td>1.051213</td>\n",
       "      <td>0.953596</td>\n",
       "      <td>1.019544</td>\n",
       "      <td>0.986989</td>\n",
       "      <td>0.942648</td>\n",
       "      <td>1.018103</td>\n",
       "      <td>0.975054</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.974734</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.904483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.926901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "<p>5 rows × 3714 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            000001.SZ  000002.SZ  000004.SZ  000005.SZ  000006.SZ  000007.SZ  \\\n",
       "data_date                                                                      \n",
       "2013-01-22   1.039594   1.056604   0.974478   0.977199   0.979554   0.978646   \n",
       "2013-01-23   1.017766   1.050314   0.995360   1.074919   1.029740   0.979256   \n",
       "2013-01-24   0.987310   1.073675   0.960557   1.048860   0.985130   0.929835   \n",
       "2013-01-25   0.972081   1.051213   0.953596   1.019544   0.986989   0.942648   \n",
       "2013-01-28   1.069543   1.083558   1.048724   1.032573   1.018587   1.025015   \n",
       "\n",
       "            000008.SZ  000009.SZ  000010.SZ  000011.SZ  ...  603988.SH  \\\n",
       "data_date                                               ...              \n",
       "2013-01-22   1.033621   0.970716        1.0   0.977394  ...        NaN   \n",
       "2013-01-23   1.032759   0.989154        1.0   1.062500  ...        NaN   \n",
       "2013-01-24   1.000000   0.994577        1.0   1.005319  ...        NaN   \n",
       "2013-01-25   1.018103   0.975054        1.0   0.974734  ...        NaN   \n",
       "2013-01-28   1.018966   1.010846        1.0   1.001330  ...        NaN   \n",
       "\n",
       "            603989.SH  603990.SH  603991.SH  603992.SH  603993.SH  603996.SH  \\\n",
       "data_date                                                                      \n",
       "2013-01-22        NaN        NaN        NaN        NaN   0.972710        NaN   \n",
       "2013-01-23        NaN        NaN        NaN        NaN   0.953216        NaN   \n",
       "2013-01-24        NaN        NaN        NaN        NaN   0.889864        NaN   \n",
       "2013-01-25        NaN        NaN        NaN        NaN   0.904483        NaN   \n",
       "2013-01-28        NaN        NaN        NaN        NaN   0.926901        NaN   \n",
       "\n",
       "            603997.SH  603998.SH  603999.SH  \n",
       "data_date                                    \n",
       "2013-01-22        NaN        NaN        NaN  \n",
       "2013-01-23        NaN        NaN        NaN  \n",
       "2013-01-24        NaN        NaN        NaN  \n",
       "2013-01-25        NaN        NaN        NaN  \n",
       "2013-01-28        NaN        NaN        NaN  \n",
       "\n",
       "[5 rows x 3714 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price_df = pd.read_csv(r'./data/price_df.csv', parse_dates=[0], index_col=[0])\n",
    "price_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ca4a9cea",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>ind_code</th>\n",
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      "text/plain": [
       "                      ind_code\n",
       "data_date  secucode           \n",
       "2013-01-22 000001.SZ    480000\n",
       "           000002.SZ    430000\n",
       "           000004.SZ    370000\n",
       "           000005.SZ    430000\n",
       "           000006.SZ    210000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_df = pd.read_csv(r'./data/group_df.csv', parse_dates=[0], index_col=[0, 1])\n",
    "group_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ec2c3c1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>ind_code</th>\n",
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      "text/plain": [
       "                     ind_code\n",
       "data_date  secucode          \n",
       "2013-01-22 000001.SZ   480000\n",
       "           000002.SZ   430000\n",
       "           000004.SZ   370000\n",
       "           000005.SZ   430000\n",
       "           000006.SZ   210000"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_df.ind_code = group_df.ind_code.astype('str')\n",
    "group_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ecdd009a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Administrator\\anaconda3\\lib\\site-packages\\alphalens\\utils.py:319: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  delta_days = period_len.components.days - mode(days_diffs).mode[0]\n",
      "C:\\Users\\Administrator\\anaconda3\\lib\\site-packages\\alphalens\\utils.py:319: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  delta_days = period_len.components.days - mode(days_diffs).mode[0]\n",
      "C:\\Users\\Administrator\\anaconda3\\lib\\site-packages\\alphalens\\utils.py:319: FutureWarning: Unlike other reduction functions (e.g. `skew`, `kurtosis`), the default behavior of `mode` typically preserves the axis it acts along. In SciPy 1.11.0, this behavior will change: the default value of `keepdims` will become False, the `axis` over which the statistic is taken will be eliminated, and the value None will no longer be accepted. Set `keepdims` to True or False to avoid this warning.\n",
      "  delta_days = period_len.components.days - mode(days_diffs).mode[0]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dropped 0.7% entries from factor data: 0.7% in forward returns computation and 0.0% in binning phase (set max_loss=0 to see potentially suppressed Exceptions).\n",
      "max_loss is 35.0%, not exceeded: OK!\n"
     ]
    }
   ],
   "source": [
    "factor_data = alphalens.utils.get_clean_factor_and_forward_returns(factor_df, price_df, group_df['ind_code'], quantiles=10, groupby_labels=ind_code2name)\n",
    "factor_data.to_csv('./data/factor_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bbd2a8d7",
   "metadata": {},
   "outputs": [
    {
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       "      <th>1D</th>\n",
       "      <th>5D</th>\n",
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       "      <th rowspan=\"5\" valign=\"top\">2013-01-22</th>\n",
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       "      <td>0.063477</td>\n",
       "      <td>-0.342815</td>\n",
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       "      <td>1.331902</td>\n",
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       "      <td>0.063333</td>\n",
       "      <td>0.053333</td>\n",
       "      <td>0.209196</td>\n",
       "      <td>real estate</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000006.SZ</th>\n",
       "      <td>0.051233</td>\n",
       "      <td>0.055028</td>\n",
       "      <td>0.070209</td>\n",
       "      <td>-0.554865</td>\n",
       "      <td>mining</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2020-01-21</th>\n",
       "      <th>603993.SH</th>\n",
       "      <td>0.030952</td>\n",
       "      <td>-0.054762</td>\n",
       "      <td>0.121429</td>\n",
       "      <td>-1.585230</td>\n",
       "      <td>non ferrous</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603996.SH</th>\n",
       "      <td>-0.002500</td>\n",
       "      <td>-0.142500</td>\n",
       "      <td>-0.112500</td>\n",
       "      <td>1.717552</td>\n",
       "      <td>electronic</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603997.SH</th>\n",
       "      <td>-0.016867</td>\n",
       "      <td>-0.142169</td>\n",
       "      <td>-0.078313</td>\n",
       "      <td>-0.512323</td>\n",
       "      <td>auto</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603998.SH</th>\n",
       "      <td>-0.041176</td>\n",
       "      <td>-0.076471</td>\n",
       "      <td>-0.092941</td>\n",
       "      <td>0.733547</td>\n",
       "      <td>medical biology</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603999.SH</th>\n",
       "      <td>-0.006211</td>\n",
       "      <td>-0.186335</td>\n",
       "      <td>-0.130435</td>\n",
       "      <td>0.459797</td>\n",
       "      <td>media</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4908731 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            1D        5D       10D    factor  \\\n",
       "date       asset                                               \n",
       "2013-01-22 000001.SZ -0.020996  0.043945  0.063477 -0.342815   \n",
       "           000002.SZ -0.005952  0.038265  0.048469 -1.555565   \n",
       "           000004.SZ  0.021429  0.113095  0.100000  1.331902   \n",
       "           000005.SZ  0.100000  0.063333  0.053333  0.209196   \n",
       "           000006.SZ  0.051233  0.055028  0.070209 -0.554865   \n",
       "...                        ...       ...       ...       ...   \n",
       "2020-01-21 603993.SH  0.030952 -0.054762  0.121429 -1.585230   \n",
       "           603996.SH -0.002500 -0.142500 -0.112500  1.717552   \n",
       "           603997.SH -0.016867 -0.142169 -0.078313 -0.512323   \n",
       "           603998.SH -0.041176 -0.076471 -0.092941  0.733547   \n",
       "           603999.SH -0.006211 -0.186335 -0.130435  0.459797   \n",
       "\n",
       "                                 group  factor_quantile  \n",
       "date       asset                                         \n",
       "2013-01-22 000001.SZ              bank                4  \n",
       "           000002.SZ       real estate                1  \n",
       "           000004.SZ   medical biology               10  \n",
       "           000005.SZ       real estate                6  \n",
       "           000006.SZ            mining                3  \n",
       "...                                ...              ...  \n",
       "2020-01-21 603993.SH       non ferrous                1  \n",
       "           603996.SH        electronic               10  \n",
       "           603997.SH              auto                3  \n",
       "           603998.SH   medical biology                8  \n",
       "           603999.SH             media                7  \n",
       "\n",
       "[4908731 rows x 6 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "factor_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ca1f5d5",
   "metadata": {},
   "source": [
    "### 参数说明"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "932a97ef",
   "metadata": {},
   "source": [
    "### factor\n",
    "\n",
    "- 因子值，是单因子回测最重要的数据，也是被测试对象\n",
    "- Alphalens要求因子值的数据结构是一个**多维索引**的DataFrame或者Series。\n",
    "    - 索引的**第1个维度是时间**\n",
    "    - **第2个维度是股票的代码**\n",
    "    - 数值就是该日期下指定股票的因子值\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    },
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"
    }
   },
   "cell_type": "markdown",
   "id": "4cc46d9b",
   "metadata": {},
   "source": [
    "### price\n",
    "\n",
    "行情数据。\n",
    "根据Alphalens的要求，股票价格的数据集应该以如下\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "339dbd09",
   "metadata": {},
   "source": [
    "### groupby\n",
    "\n",
    "- 传入股票的行业信息\n",
    "- 传入的数据格式\n",
    "    - 第一种是一个字典\n",
    "    - 第二种是一个和因子数据匹配的多维index的Series\n",
    "\n",
    "        ![](https://secure2.wostatic.cn/static/pKUDgdefjEiSsG93Sp2D6y/image.png?auth_key=1698246968-2tJTk8yCzwxjyDpy16ECyR-0-ee3287cf0fefe2221fe0673cff0c1b69)\n",
    "\n",
    "    <font color=\"red\">这两种数据格式存在一定的区别。如果传入的是字典格式，那么在因子回测的整个时间跨度中股票的行业不会改变，而如果传入的是DataFrame或者Series，则可以接受股票在回测区间内行业信息发生变化。</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5195f29e",
   "metadata": {},
   "source": [
    "\n",
    "<font color=\"green\">这是一个绿色的文本。</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1783203f",
   "metadata": {},
   "source": [
    "### quantiles bins\n",
    "\n",
    "用于将因子数据分割成桶\n",
    "\n",
    "🎯 **`bins `****  和 ****`quantiles`****  二选一**\n",
    "\n",
    "- `quantiles` 按照**股票数量**等分。\n",
    "    - `5` : 在随后的测试中，每一个时刻的股票都会被分为5组，而且原则上按照每组股票数量相等来划分\n",
    "    - `[0, .10, .5, .90, 1.]`  `[.05, .5, .95] ` ：按照 指定分位数分组\n",
    "- `bins ` 对**因子值进行等分**，然后根据等分后的因子值区间对股票进行分组\n",
    "    - 整数：例如，当因子值范围为-3～3时，如果我们将bins设置为3，那么每一时刻的股票都将被分为三组，这三组的因子值分别是-3～-1、-1～1、1～3。分组仅以因子值为标准，而不会考虑数量。哪怕数千只股票中只有一只股票的因子值落在1～3区间，这只股票也会被单独分为一组。\n",
    "    - 列表：[-2, -1, 0, 1, 2] ，按照因子的范围，分为4组\n",
    "\n",
    "        ![](https://secure2.wostatic.cn/static/jYhhPmUn6cNV4yC1btzWey/image.png?auth_key=1698247222-8XbtNS8Hh3VkGfahqK1s2u-0-3e633af70a031855c0ad1eea6cf5a576)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49410baf",
   "metadata": {},
   "source": [
    "### binning_by_group\n",
    "\n",
    "这一参数用于设置是否按行业分别计算股票的分位数。如果因子值已经进行过行业中性化，那么这一参数通常设置为“False”"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46a43c17",
   "metadata": {},
   "outputs": [],
   "source": [
    "grouper = [factor_data.index.get_level_values('date')]\n",
    "if by_group:\n",
    "    grouper.append('group')\n",
    "\n",
    "factor_quantile = factor_data.groupby(grouper)['factor'].apply(quantile_calc, quantiles, bins, zero_aware, no_raise)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66831569",
   "metadata": {},
   "source": [
    "### periods\n",
    "\n",
    "默认 periods=(1, 5, 10)<br>\n",
    "之前我们使用的是5天调仓的例子，在Alphalens中，我们可以设置想测试的调仓周期，且可以设置多个调仓周期。<br>\n",
    "例如我们想分别测试因子在1天、5天、10天调仓周期下的表现，那么这一项可以设置为[1，5，10]。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df320d00",
   "metadata": {},
   "outputs": [],
   "source": [
    "for period in sorted(periods):\n",
    "    if cumulative_returns:\n",
    "        returns = prices.pct_change(period)\n",
    "    else:\n",
    "        returns = prices.pct_change()\n",
    "\n",
    "forward_returns = returns.shift(-period).reindex(factor_dateindex)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "9bf86351",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66f43f1f",
   "metadata": {},
   "source": [
    "### filter_zscore\n",
    "\n",
    "filter_zscore是一个针对收益率的过滤器。<br>\n",
    "默认值 20：收益率大于20倍标准差设置为None，防止异常值<br>\n",
    "我们知道，很难确保行情数据处理不出问题，所以Alphalens在数据整合的时候会对计算出来的收益率进行调整。<br>\n",
    "当Alphalens根据价格计算出来的一日或多日收益率大于指定倍数的标准差时，<br>\n",
    "就将这一收益率设置为None，从而避免数据异常对因子回测的结果产生较大影响"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6960d69e",
   "metadata": {},
   "outputs": [],
   "source": [
    "if filter_zscore is not None:\n",
    "    mask = abs(forward_returns - forward_returns.mean()) > (filter_zscore * forward_returns.std())\n",
    "    forward_returns[mask] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "969377f3",
   "metadata": {},
   "source": [
    "### groupby_labels\n",
    "\n",
    "将分组（行业）代码转换为行业名称<br>\n",
    "字典形式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ee8a7818",
   "metadata": {},
   "outputs": [],
   "source": [
    "{'210000': ' mining',\n",
    " '220000': ' chemical',\n",
    " '230000': ' steel',\n",
    " '240000': ' non ferrous',\n",
    " '610000': ' building materials',\n",
    " '620000': ' architectural decoration',\n",
    " '630000': ' electrical equipment',\n",
    " '640000': ' mechanical equipment',\n",
    " '650000': ' national defense and military industry',\n",
    " '280000': ' auto',\n",
    " '330000': ' appliances',\n",
    " '360000': ' light industry manufacturing',\n",
    " '110000': ' agriculture',\n",
    " '340000': ' food and beverage',\n",
    " '350000': ' textile and clothing',\n",
    " '370000': ' medical biology',\n",
    " '450000': ' commercial trade',\n",
    " '460000': ' leisure services',\n",
    " '270000': ' electronic',\n",
    " '710000': ' computer',\n",
    " '720000': ' media',\n",
    " '730000': ' communications',\n",
    " '410000': ' utilities',\n",
    " '420000': ' transportation',\n",
    " '430000': ' real estate',\n",
    " '480000': ' bank',\n",
    " '490000': ' non-bank finance',\n",
    " '510000': ' comprehensive'}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ea47c81",
   "metadata": {},
   "source": [
    "### zero_aware\n",
    "\n",
    "bool 默认 False\n",
    "\n",
    "zero_aware是一个比较有意思的参数，当这一参数设置为True的时候，<br>\n",
    "在计算分组时会首先将因子分为正负两组，然后在组内进行分组，最后再合并。<br>\n",
    "这样做的好处是在任意一组中不会存在因子值符号相反的情况。<br>\n",
    "当因子值的符号有强烈的多空含义时，应当将这一参数设置为True，而在一般情况下设置为False即可。<br>\n",
    "\n",
    "此外，还需要注意的是，只有当quantiles或者bins传入的参数是整数型的时候，这一参数才会发挥作用"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab480a84",
   "metadata": {},
   "source": [
    "### max_loss\n",
    "\n",
    "max_loss参数与数据处理有关。<br>\n",
    "我们传入Alphalens中的数据不一定是完美的，<br>\n",
    "所以Alphalens在处理数据的时候会丢掉一些缺失值、异常值，<br>\n",
    "在计算多日收益率的时候也会损失时间序列刚开始的价格数据，<br>\n",
    "因此最后能够留下的数据量只占原始数据量特定的比例。\n",
    "\n",
    "这一参数可以设置的值为0～1的浮点数，当数据的损失量比例大于这一阈值的时候，Alphalens就会抛出异常，要求我们对数据进行检查。<br>\n",
    "例如我们设置max_loss为0.2，那么当最后保留下来的数据小于80%（大于20%的数据损失量）的时候，Alphalens就会停下来。\n",
    "\n",
    "此外，当把max_loss设置为0的时候，相当于这一阈值失效，此时无论数据损失量是多少，Alphalens都不会抛出异常"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28120787",
   "metadata": {},
   "source": [
    "### cumulative_returns\n",
    "\n",
    "cumulative_returns参数通常设置为True，默认设置也是True。\n",
    "\n",
    "当设置为True的时候，Alphalens计算的是未来N日累计收益率而非未来N日当天的收益率。\n",
    "\n",
    "只有当我们希望判断因子对未来某一天的收益率是否有预测能力的时候才会将其设置为False。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4336766",
   "metadata": {},
   "source": [
    "### 重要源码"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "42c7d677",
   "metadata": {},
   "source": [
    "### 计算远期收益率  compute_forward_returns\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    },
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"
    }
   },
   "cell_type": "markdown",
   "id": "5fd97bb9",
   "metadata": {},
   "source": [
    "### 合并因子 get_clean_factor\n",
    "![image.png](attachment:image.png)\n",
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28c40936",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d49cd3a6",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8c216fcc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4387cd87",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c72f8740",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
